From 21825d03f9c37ff6bac3ef33f1f1950ba3da87ba Mon Sep 17 00:00:00 2001 From: "github-merge-queue[bot]" Date: Thu, 17 Jul 2025 14:09:28 +0000 Subject: [PATCH] deploy: ecf44e6908b7a08bb08ac6f184b25a98b37a17a7 --- 404.html | 4 +- about-langflow.html | 4 +- agent-tutorial.html | 8 +- agents-tools.html | 4 +- agents.html | 4 +- api-build.html | 4 +- api-files.html | 4 +- api-flows-run.html | 4 +- api-flows.html | 4 +- api-logs.html | 4 +- api-monitor.html | 4 +- api-projects.html | 4 +- api-reference-api-examples.html | 4 +- api-users.html | 4 +- api.html | 4 +- api/add-server.html | 4 +- api/add-user.html | 4 +- api/auto-login.html | 4 +- api/build-flow.html | 4 +- api/build-public-tmp.html | 4 +- api/build-vertex-stream.html | 4 +- api/build-vertex.html | 4 +- api/cancel-build.html | 4 +- api/check-if-store-has-api-key.html | 4 +- api/check-if-store-is-enabled.html | 4 +- api/check-installed-mcp-servers.html | 4 +- api/create-api-key-route.html | 4 +- api/create-flow.html | 4 +- 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To find the component ID, open your flow in Langflow, click the File component, and then click ",(0,s.jsx)(t.strong,{children:"Controls"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"CHAT_INPUT"}),": The message you want to send to the Chat Input of your flow, such as ",(0,s.jsx)(t.code,{children:"Evaluate this resume for a job opening in my Marketing department."})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_NAME"})," and ",(0,s.jsx)(t.code,{children:"FILE_PATH"}),": The name and path to the local file that you want to send to your flow."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Python example using requests",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" json",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 1. 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Prepare the file and payload",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"files ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"'file'",props:{style:{color:"#A5D6FF"}}},{content:", (",props:{style:{color:"#C9D1D9"}}},{content:"'FILE_PATH'",props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"open",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'FILE_NAME'",props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"'rb'",props:{style:{color:"#A5D6FF"}}},{content:"), ",props:{style:{color:"#C9D1D9"}}},{content:"'application/octet-stream'",props:{style:{color:"#A5D6FF"}}},{content:"))",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'Accept'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'x-api-key'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 3. Upload the file to Langflow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers, ",props:{style:{color:"#C9D1D9"}}},{content:"data",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"files",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"files)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(response.text)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 4. Get the uploaded file path from the response",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"uploaded_data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.json()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"uploaded_path ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" uploaded_data.get(",props:{style:{color:"#C9D1D9"}}},{content:"'path'",props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 5. Call the Langflow run endpoint with the uploaded file path",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"run_payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"CHAT_INPUT"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "tweaks"',props:{style:{color:"#A5D6FF"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "FILE_COMPONENT_ID"',props:{style:{color:"#A5D6FF"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "path"',props:{style:{color:"#A5D6FF"}}},{content:": uploaded_path",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"run_headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'Content-Type'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'Accept'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'x-api-key'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"run_response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.post(run_url, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"run_headers, ",props:{style:{color:"#C9D1D9"}}},{content:"data",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"json.dumps(run_payload))",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"langflow_data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" run_response.json()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Output only the message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"message ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"None",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" message ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" langflow_data[",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'results'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'message'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'data'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'text'",props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"KeyError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"IndexError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"TypeError",props:{style:{color:"#79C0FF"}}},{content:"):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" pass",props:{style:{color:"#FF7B72"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(message)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This script contains two requests."}),"\n",(0,s.jsxs)(t.p,{children:["The first request uploads a file, such as ",(0,s.jsx)(t.code,{children:"fake-resume.txt"}),", to your Langflow server at the ",(0,s.jsx)(t.code,{children:"/v2/files"})," endpoint. This request returns a file path that can be referenced in subsequent Langflow requests, such as ",(0,s.jsx)(t.code,{children:"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt"})]}),"\n",(0,s.jsxs)(t.p,{children:["The second request sends a chat message to the Langflow flow at the ",(0,s.jsx)(t.code,{children:"/v1/run/"})," endpoint.\nThe ",(0,s.jsx)(t.code,{children:"tweaks"})," parameter includes the path to the uploaded file as the variable ",(0,s.jsx)(t.code,{children:"uploaded_path"}),", and sends this file directly to the File component."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Save and run the script to send the requests and test the flow."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Response"}),(0,s.jsx)(t.p,{children:"The following is an example of a response returned from this tutorial's flow. Due to the nature of LLMs and variations in your inputs, your response might be different."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"793ba3d8-5e7a-4499-8b89-d9a7b6325fee","name":"fake-resume (1)","path":"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt","size":1779,"provider":null}',props:{}}]},{tokens:[{content:"The resume for Emily J. Wilson presents a strong candidate for a position in your Marketing department. Here are some key points to consider:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Strengths:",props:{}}]},{tokens:[{content:"1. **Experience**: With over 8 years in marketing, Emily has held progressively responsible positions, culminating in her current role as Marketing Director. This indicates a solid foundation in the field.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **Quantifiable Achievements**: The resume highlights specific accomplishments, such as a 25% increase in brand recognition and a 30% sales increase after launching new product lines. These metrics demonstrate her ability to drive results.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Diverse Skill Set**: Emily's skills encompass various aspects of marketing, including strategy development, team management, social media marketing, event planning, and data analysis. This versatility can be beneficial in a dynamic marketing environment.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"4. **Educational Background**: Her MBA and a Bachelor's degree in Marketing provide a strong academic foundation, which is often valued in marketing roles.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"5. **Certifications**: The Certified Marketing Professional (CMP) and Google Analytics Certification indicate a commitment to professional development and staying current with industry standards.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Areas for Improvement:",props:{}}]},{tokens:[{content:"1. **Specificity in Skills**: While the skills listed are relevant, providing examples of how she has applied these skills in her previous roles could strengthen her resume further.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **References**: While stating that references are available upon request is standard, including a couple of testimonials or notable endorsements could enhance credibility.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Formatting**: Ensure that the resume is visually appealing and easy to read. Clear headings and bullet points help in quickly identifying key information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Conclusion:",props:{}}]},{tokens:[{content:"Overall, Emily J. Wilson's resume reflects a well-rounded marketing professional with a proven track record of success. If her experience aligns with the specific needs of your Marketing department, she could be a valuable addition to your team. Consider inviting her for an interview to further assess her fit for the role.",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n",(0,s.jsx)(t.p,{children:"The initial output contains the JSON response object from the file upload endpoint, including the internal path where Langflow stores the file."}),"\n",(0,s.jsx)(t.p,{children:"The LLM then retrieves this file and evaluates its content, in this case the suitability of the resume for a job position."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,s.jsx)(t.p,{children:"To process multiple files in a single flow run, add a separate File component for each file you want to ingest. Then, modify your script to upload each file, retrieve each returned file path, and then pass a unique file path to each File component ID."}),"\n",(0,s.jsxs)(t.p,{children:["For example, you can modify ",(0,s.jsx)(t.code,{children:"tweaks"})," to accept multiple file components.\nThe following code is just an example; it is not working code:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"## set multiple file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"file_paths ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" FILE_COMPONENT_1",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_1,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" FILE_COMPONENT_2",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_2",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"def ",props:{style:{color:"#FF7B72"}}},{content:"chat_with_flow",props:{style:{color:"#D2A8FF"}}},{content:"(input_message, file_paths):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' """Compare the contents of these two files."""',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= f",props:{style:{color:"#FF7B72"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:"{LANGFLOW_SERVER_ADDRESS}",props:{style:{color:"#79C0FF"}}},{content:"/api/v1/run/",props:{style:{color:"#A5D6FF"}}},{content:"{FLOW_ID}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" # Prepare tweaks with both file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" tweaks ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" for",props:{style:{color:"#FF7B72"}}},{content:" component_id, file_path ",props:{style:{color:"#C9D1D9"}}},{content:"in",props:{style:{color:"#FF7B72"}}},{content:" file_paths.items():",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" tweaks[component_id] ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}},{content:'"path"',props:{style:{color:"#A5D6FF"}}},{content:": file_path}",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["To upload files from another machine that is not your local environment, your Langflow server must first be accessible over the internet. Then, authenticated users can upload files your public Langflow server's ",(0,s.jsx)(t.code,{children:"/v2/files/"})," endpoint, as shown in the tutorial. 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The next section of this tutorial covers runtime file uploads."}),"\n",(0,s.jsx)(t.p,{children:"At this point your flow has five components. The Chat Input and File components are connected to the Prompt component's input ports. Then, the Prompt component's output port is connected to the Language Model component's input port. Finally, the Language Model component's output port is connected to the Chat Output component, which returns the final response to the user."}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"File loader chat flow",src:o(47617).A+"",width:"4000",height:"1564"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"send-requests-to-your-flow-from-a-python-application",children:"Send requests to your flow from a Python application"}),"\n",(0,s.jsx)(t.p,{children:"This section of the tutorial demonstrates how you can send file input to a flow from an application."}),"\n",(0,s.jsxs)(t.p,{children:["To do this, your application must send a ",(0,s.jsx)(t.code,{children:"POST /run"})," request to your Langflow server with the file you want to upload and a text prompt.\nThe result includes the outcome of the flow run and the LLM's response."]}),"\n",(0,s.jsxs)(t.p,{children:["This example uses a local Langflow instance, and it asks the LLM to evaluate a sample resume.\nIf you don't have a resume on hand, you can download ",(0,s.jsx)(t.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:o(87481).A+"",children:"fake-resume.txt"}),"."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsxs)(t.p,{children:["For help with constructing file upload requests in Python, JavaScript, and curl, see the ",(0,s.jsx)(t.a,{href:"https://langflow-file-upload-examples.onrender.com",children:"Langflow File Upload Utility"}),"."]})}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"To construct the request, gather the following information:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(t.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_COMPONENT_ID"}),": The UUID of the File component in your flow, such as ",(0,s.jsx)(t.code,{children:"File-KZP68"}),". To find the component ID, open your flow in Langflow, click the File component, and then click ",(0,s.jsx)(t.strong,{children:"Controls"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"CHAT_INPUT"}),": The message you want to send to the Chat Input of your flow, such as ",(0,s.jsx)(t.code,{children:"Evaluate this resume for a job opening in my Marketing department."})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_NAME"})," and ",(0,s.jsx)(t.code,{children:"FILE_PATH"}),": The name and path to the local file that you want to send to your flow."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Python example using requests",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" json",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 1. 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Upload the file to Langflow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers, ",props:{style:{color:"#C9D1D9"}}},{content:"data",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"files",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"files)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(response.text)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 4. 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Call the Langflow run endpoint with the uploaded file path",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"run_payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"CHAT_INPUT"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": 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",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'Accept'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 'x-api-key'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"run_response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.post(run_url, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"run_headers, ",props:{style:{color:"#C9D1D9"}}},{content:"data",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"json.dumps(run_payload))",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"langflow_data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" run_response.json()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Output only the message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"message ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"None",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" message ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" langflow_data[",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'results'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'message'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'data'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'text'",props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"KeyError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"IndexError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"TypeError",props:{style:{color:"#79C0FF"}}},{content:"):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" pass",props:{style:{color:"#FF7B72"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(message)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This script contains two requests."}),"\n",(0,s.jsxs)(t.p,{children:["The first request uploads a file, such as ",(0,s.jsx)(t.code,{children:"fake-resume.txt"}),", to your Langflow server at the ",(0,s.jsx)(t.code,{children:"/v2/files"})," endpoint. This request returns a file path that can be referenced in subsequent Langflow requests, such as ",(0,s.jsx)(t.code,{children:"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt"})]}),"\n",(0,s.jsxs)(t.p,{children:["The second request sends a chat message to the Langflow flow at the ",(0,s.jsx)(t.code,{children:"/v1/run/"})," endpoint.\nThe ",(0,s.jsx)(t.code,{children:"tweaks"})," parameter includes the path to the uploaded file as the variable ",(0,s.jsx)(t.code,{children:"uploaded_path"}),", and sends this file directly to the File component."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Save and run the script to send the requests and test the flow."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Response"}),(0,s.jsx)(t.p,{children:"The following is an example of a response returned from this tutorial's flow. Due to the nature of LLMs and variations in your inputs, your response might be different."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"793ba3d8-5e7a-4499-8b89-d9a7b6325fee","name":"fake-resume (1)","path":"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt","size":1779,"provider":null}',props:{}}]},{tokens:[{content:"The resume for Emily J. Wilson presents a strong candidate for a position in your Marketing department. Here are some key points to consider:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Strengths:",props:{}}]},{tokens:[{content:"1. **Experience**: With over 8 years in marketing, Emily has held progressively responsible positions, culminating in her current role as Marketing Director. This indicates a solid foundation in the field.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **Quantifiable Achievements**: The resume highlights specific accomplishments, such as a 25% increase in brand recognition and a 30% sales increase after launching new product lines. These metrics demonstrate her ability to drive results.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Diverse Skill Set**: Emily's skills encompass various aspects of marketing, including strategy development, team management, social media marketing, event planning, and data analysis. This versatility can be beneficial in a dynamic marketing environment.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"4. **Educational Background**: Her MBA and a Bachelor's degree in Marketing provide a strong academic foundation, which is often valued in marketing roles.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"5. **Certifications**: The Certified Marketing Professional (CMP) and Google Analytics Certification indicate a commitment to professional development and staying current with industry standards.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Areas for Improvement:",props:{}}]},{tokens:[{content:"1. **Specificity in Skills**: While the skills listed are relevant, providing examples of how she has applied these skills in her previous roles could strengthen her resume further.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **References**: While stating that references are available upon request is standard, including a couple of testimonials or notable endorsements could enhance credibility.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Formatting**: Ensure that the resume is visually appealing and easy to read. Clear headings and bullet points help in quickly identifying key information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Conclusion:",props:{}}]},{tokens:[{content:"Overall, Emily J. Wilson's resume reflects a well-rounded marketing professional with a proven track record of success. If her experience aligns with the specific needs of your Marketing department, she could be a valuable addition to your team. Consider inviting her for an interview to further assess her fit for the role.",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n",(0,s.jsx)(t.p,{children:"The initial output contains the JSON response object from the file upload endpoint, including the internal path where Langflow stores the file."}),"\n",(0,s.jsx)(t.p,{children:"The LLM then retrieves this file and evaluates its content, in this case the suitability of the resume for a job position."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,s.jsx)(t.p,{children:"To process multiple files in a single flow run, add a separate File component for each file you want to ingest. Then, modify your script to upload each file, retrieve each returned file path, and then pass a unique file path to each File component ID."}),"\n",(0,s.jsxs)(t.p,{children:["For example, you can modify ",(0,s.jsx)(t.code,{children:"tweaks"})," to accept multiple file components.\nThe following code is just an example; it is not working code:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"## set multiple file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"file_paths ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" FILE_COMPONENT_1",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_1,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" FILE_COMPONENT_2",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_2",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"def ",props:{style:{color:"#FF7B72"}}},{content:"chat_with_flow",props:{style:{color:"#D2A8FF"}}},{content:"(input_message, file_paths):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' """Compare the contents of these two files."""',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= f",props:{style:{color:"#FF7B72"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:"{LANGFLOW_SERVER_ADDRESS}",props:{style:{color:"#79C0FF"}}},{content:"/api/v1/run/",props:{style:{color:"#A5D6FF"}}},{content:"{FLOW_ID}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" # Prepare tweaks with both file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" tweaks ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" for",props:{style:{color:"#FF7B72"}}},{content:" component_id, file_path ",props:{style:{color:"#C9D1D9"}}},{content:"in",props:{style:{color:"#FF7B72"}}},{content:" file_paths.items():",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" tweaks[component_id] ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}},{content:'"path"',props:{style:{color:"#A5D6FF"}}},{content:": file_path}",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["To upload files from another machine that is not your local environment, your Langflow server must first be accessible over the internet. Then, authenticated users can upload files your public Langflow server's ",(0,s.jsx)(t.code,{children:"/v2/files/"})," endpoint, as shown in the tutorial. 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The tools are selected by the agent's internal LLM to solve problems and answer questions."}),"\n",(0,s.jsx)(e.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/get-started-installation",children:"A running Langflow instance"})}),"\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/configuration-api-keys",children:"A Langflow API key"})}),"\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"https://platform.openai.com/api-keys",children:"An OpenAI API key"})}),"\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/typescript-client",children:"Langflow JavaScript client installed"})}),"\n"]}),"\n",(0,s.jsx)(e.p,{children:"This tutorial uses an OpenAI LLM. If you want to use a different provider, you need a valid credential for that provider."}),"\n",(0,s.jsx)(e.h2,{id:"create-an-agentic-flow",children:"Create an agentic flow"}),"\n",(0,s.jsxs)(e.p,{children:["The following steps modify the ",(0,s.jsx)(e.a,{href:"/simple-agent",children:(0,s.jsx)(e.strong,{children:"Simple agent"})})," template to connect ",(0,s.jsx)(e.a,{href:"/components-data#directory",children:(0,s.jsx)(e.strong,{children:"Directory"})})," and ",(0,s.jsx)(e.a,{href:"/components-data#web-search",children:(0,s.jsx)(e.strong,{children:"Web search"})})," components as tools for an ",(0,s.jsx)(e.strong,{children:"Agent"})," component.\nThe ",(0,s.jsx)(e.strong,{children:"Directory"})," component loads all files of a given type from a target directory on your local machine, and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component performs a DuckDuckGo search.\nWhen connected to an ",(0,s.jsx)(e.strong,{children:"Agent"})," component as tools, the agent has the option to use these components when handling requests."]}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In Langflow, click ",(0,s.jsx)(e.strong,{children:"New Flow"}),", and then select the ",(0,s.jsx)(e.strong,{children:"Simple agent"})," template."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Remove the ",(0,s.jsx)(e.strong,{children:"URL"})," and ",(0,s.jsx)(e.strong,{children:"Calculator"})," tools, and then drag the ",(0,s.jsx)(e.a,{href:"/components-data#directory",children:(0,s.jsx)(e.strong,{children:"Directory"})})," and ",(0,s.jsx)(e.a,{href:"/components-data#web-search",children:(0,s.jsx)(e.strong,{children:"Web search"})})," components into your workspace."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.strong,{children:"Path"})," field, enter the directory path and file types that you want to make available to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component."]}),"\n",(0,s.jsxs)(e.p,{children:["In this tutorial, the agent needs access to a record of customer purchases, so the directory name is ",(0,s.jsx)(e.code,{children:"customer_orders"})," and the file type is ",(0,s.jsx)(e.code,{children:".csv"}),". Later in this tutorial, the agent will be prompted to find ",(0,s.jsx)(e.code,{children:"email"})," values in the customer data."]}),"\n",(0,s.jsxs)(e.p,{children:["You can adapt the tutorial to suit your data, or, to follow along with the tutorial, you can download ",(0,s.jsx)(e.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(36557).A+"",children:(0,s.jsx)(e.code,{children:"customer-orders.csv"})})," and save it in a ",(0,s.jsx)(e.code,{children:"customer_orders"})," folder on your local machine."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.a,{href:"/concepts-components#component-menus",children:"component header menu"})," for the ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web search"})," components, enable ",(0,s.jsx)(e.strong,{children:"Tool Mode"})," so you can use the components with an agent."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["For both tool components, connect the ",(0,s.jsx)(e.strong,{children:"Toolset"})," port to the Agent component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(e.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(e.strong,{children:"Model Provider"}),", ",(0,s.jsx)(e.strong,{children:"Model Name"}),", and ",(0,s.jsx)(e.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To test the flow, click ",(0,s.jsx)(l.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(e.strong,{children:"Playground"}),", and then ask the LLM a question, such as ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for carol.davis@example.com, based on previous orders."})]}),"\n",(0,s.jsxs)(e.p,{children:["Given the example prompt, the LLM would respond with recommendations and web links for items based on previous orders in ",(0,s.jsx)(e.code,{children:"customer_orders.csv"}),"."]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.strong,{children:"Playground"})," prints the agent's chain of thought as it selects tools to use and interacts with functionality provided by those tools.\nFor example, the agent can use the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.code,{children:"as_dataframe"})," tool to retrieve a ",(0,s.jsx)(e.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),", and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component's ",(0,s.jsx)(e.code,{children:"perform_search"})," tool to find links to related items."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"add-a-prompt-component-to-the-flow",children:"Add a prompt component to the flow"}),"\n",(0,s.jsx)(e.p,{children:"In this example, the application sends a customer's email address to the Langflow agent. The agent compares the customer's previous orders within the Directory component, searches the web for used versions of those items, and returns three results."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To include the email address as a value in your flow, add a ",(0,s.jsx)(e.a,{href:"/components-prompts",children:"Prompt"})," component to your flow between the ",(0,s.jsx)(e.strong,{children:"Chat Input"})," and ",(0,s.jsx)(e.strong,{children:"Agent"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the Prompt component's ",(0,s.jsx)(e.strong,{children:"Template"})," field, enter ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for {email}, based on previous orders."}),"\nAdding the ",(0,s.jsx)(e.code,{children:"{email}"})," value in curly braces creates a new input in the ",(0,s.jsx)(e.strong,{children:"Prompt"})," component, and the component connected to the ",(0,s.jsx)(e.code,{children:"{email}"})," port is supplying the value for that variable.\nThis creates a point for the user's email to enter the flow from your request.\nIf you aren't using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, modify the input to search for a value in your dataset."]}),"\n",(0,s.jsxs)(e.p,{children:["At this point your flow has six components. The Chat Input is connected to the Prompt component's ",(0,s.jsx)(e.code,{children:"email"})," input port. Then, the Prompt component's output port is connected to the Agent component's input port. The Directory and Web search components are connected to the Agent's Tools port. Finally, the Agent component's output port is connected to the Chat Output component, which returns the final response to the application."]}),"\n",(0,s.jsx)(e.p,{children:(0,s.jsx)(e.img,{alt:"An agent component connected to web search and directory components",src:t(33588).A+"",width:"4000",height:"2830"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"send-requests-to-your-flow-from-a-javascript-application",children:"Send requests to your flow from a JavaScript application"}),"\n",(0,s.jsx)(e.p,{children:"With your flow operational, connect it to a JavaScript application to use the agent's responses."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"To construct a JavaScript application to connect to your flow, gather the following information:"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(e.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(e.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Copy the following script into a JavaScript file, and then replace the placeholders with the information you gathered in the previous step.\nIf you're using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, you can run this example as-is with the example email address in the code sample.\nIf not, modify the ",(0,s.jsx)(e.code,{children:'const email = "isabella.rodriguez@example.com"'})," to search for a value in your dataset."]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" { LangflowClient } ",props:{style:{color:"#C9D1D9"}}},{content:"from 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",props:{style:{color:"#FF7B72"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"email ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"isabella.rodriguez@example.com"',props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"async function ",props:{style:{color:"#FF7B72"}}},{content:"runAgentFlow",props:{style:{color:"#D2A8FF"}}},{content:"()",props:{style:{color:"#C9D1D9"}}},{content:": ",props:{style:{color:"#FF7B72"}}},{content:"Promise",props:{style:{color:"#FFA657"}}},{content:"<",props:{style:{color:"#C9D1D9"}}},{content:"void",props:{style:{color:"#79C0FF"}}},{content:"> {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" try",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Initialize the Langflow client",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"client ",props:{style:{color:"#79C0FF"}}},{content:"= new ",props:{style:{color:"#FF7B72"}}},{content:"LangflowClient",props:{style:{color:"#D2A8FF"}}},{content:"({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" baseUrl: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" apiKey: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_API_KEY",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:" });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Connecting to Langflow server at: ${",props:{style:{color:"#A5D6FF"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:"} `",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Flow ID: ${",props:{style:{color:"#A5D6FF"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Email: ${",props:{style:{color:"#A5D6FF"}}},{content:"email",props:{style:{color:"#C9D1D9"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Get the flow instance",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"flow ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" client.",props:{style:{color:"#C9D1D9"}}},{content:"flow",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Run the flow with the email as input",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Sending request to agent...'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"response ",props:{style:{color:"#79C0FF"}}},{content:"= await",props:{style:{color:"#FF7B72"}}},{content:" flow.",props:{style:{color:"#C9D1D9"}}},{content:"run",props:{style:{color:"#D2A8FF"}}},{content:"(email, {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" session_id: email ",props:{style:{color:"#C9D1D9"}}},{content:"// Use email as session ID for context",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== Response from Langflow ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Session ID:'",props:{style:{color:"#A5D6FF"}}},{content:", response.sessionId);",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Extract URLs from the chat message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"chatMessage ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.",props:{style:{color:"#C9D1D9"}}},{content:"chatOutputText",props:{style:{color:"#D2A8FF"}}},{content:"();",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== URLs from Chat Message ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"messageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" 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If you want to use a different provider, you need a valid credential for that provider."}),"\n",(0,s.jsx)(e.h2,{id:"create-an-agentic-flow",children:"Create an agentic flow"}),"\n",(0,s.jsxs)(e.p,{children:["The following steps modify the ",(0,s.jsx)(e.a,{href:"/simple-agent",children:(0,s.jsx)(e.strong,{children:"Simple agent"})})," template to connect ",(0,s.jsx)(e.a,{href:"/components-data#directory",children:(0,s.jsx)(e.strong,{children:"Directory"})})," and ",(0,s.jsx)(e.a,{href:"/components-data#web-search",children:(0,s.jsx)(e.strong,{children:"Web search"})})," components as tools for an ",(0,s.jsx)(e.strong,{children:"Agent"})," component.\nThe ",(0,s.jsx)(e.strong,{children:"Directory"})," component loads all files of a given type from a target directory on your local machine, and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component performs a DuckDuckGo search.\nWhen connected to an ",(0,s.jsx)(e.strong,{children:"Agent"})," component as tools, the agent has the option to use these components when handling requests."]}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In Langflow, click ",(0,s.jsx)(e.strong,{children:"New Flow"}),", and then select the ",(0,s.jsx)(e.strong,{children:"Simple agent"})," template."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Remove the ",(0,s.jsx)(e.strong,{children:"URL"})," and ",(0,s.jsx)(e.strong,{children:"Calculator"})," tools, and then drag the ",(0,s.jsx)(e.a,{href:"/components-data#directory",children:(0,s.jsx)(e.strong,{children:"Directory"})})," and ",(0,s.jsx)(e.a,{href:"/components-data#web-search",children:(0,s.jsx)(e.strong,{children:"Web search"})})," components into your workspace."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.strong,{children:"Path"})," field, enter the directory path and file types that you want to make available to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component."]}),"\n",(0,s.jsxs)(e.p,{children:["In this tutorial, the agent needs access to a record of customer purchases, so the directory name is ",(0,s.jsx)(e.code,{children:"customer_orders"})," and the file type is ",(0,s.jsx)(e.code,{children:".csv"}),". Later in this tutorial, the agent will be prompted to find ",(0,s.jsx)(e.code,{children:"email"})," values in the customer data."]}),"\n",(0,s.jsxs)(e.p,{children:["You can adapt the tutorial to suit your data, or, to follow along with the tutorial, you can download ",(0,s.jsx)(e.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(36557).A+"",children:(0,s.jsx)(e.code,{children:"customer-orders.csv"})})," and save it in a ",(0,s.jsx)(e.code,{children:"customer_orders"})," folder on your local machine."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.a,{href:"/concepts-components#component-menus",children:"component header menu"})," for the ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web search"})," components, enable ",(0,s.jsx)(e.strong,{children:"Tool Mode"})," so you can use the components with an agent."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["For both tool components, connect the ",(0,s.jsx)(e.strong,{children:"Toolset"})," port to the Agent component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(e.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(e.strong,{children:"Model Provider"}),", ",(0,s.jsx)(e.strong,{children:"Model Name"}),", and ",(0,s.jsx)(e.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To test the flow, click ",(0,s.jsx)(l.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(e.strong,{children:"Playground"}),", and then ask the LLM a question, such as ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for carol.davis@example.com, based on previous orders."})]}),"\n",(0,s.jsxs)(e.p,{children:["Given the example prompt, the LLM would respond with recommendations and web links for items based on previous orders in ",(0,s.jsx)(e.code,{children:"customer_orders.csv"}),"."]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.strong,{children:"Playground"})," prints the agent's chain of thought as it selects tools to use and interacts with functionality provided by those tools.\nFor example, the agent can use the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.code,{children:"as_dataframe"})," tool to retrieve a ",(0,s.jsx)(e.a,{href:"/concepts-objects#dataframe-object",children:"DataFrame"}),", and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component's ",(0,s.jsx)(e.code,{children:"perform_search"})," tool to find links to related items."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"add-a-prompt-component-to-the-flow",children:"Add a prompt component to the flow"}),"\n",(0,s.jsx)(e.p,{children:"In this example, the application sends a customer's email address to the Langflow agent. The agent compares the customer's previous orders within the Directory component, searches the web for used versions of those items, and returns three results."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To include the email address as a value in your flow, add a ",(0,s.jsx)(e.a,{href:"/components-prompts",children:"Prompt"})," component to your flow between the ",(0,s.jsx)(e.strong,{children:"Chat Input"})," and ",(0,s.jsx)(e.strong,{children:"Agent"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the Prompt component's ",(0,s.jsx)(e.strong,{children:"Template"})," field, enter ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for {email}, based on previous orders."}),"\nAdding the ",(0,s.jsx)(e.code,{children:"{email}"})," value in curly braces creates a new input in the ",(0,s.jsx)(e.strong,{children:"Prompt"})," component, and the component connected to the ",(0,s.jsx)(e.code,{children:"{email}"})," port is supplying the value for that variable.\nThis creates a point for the user's email to enter the flow from your request.\nIf you aren't using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, modify the input to search for a value in your dataset."]}),"\n",(0,s.jsxs)(e.p,{children:["At this point your flow has six components. The Chat Input is connected to the Prompt component's ",(0,s.jsx)(e.code,{children:"email"})," input port. Then, the Prompt component's output port is connected to the Agent component's input port. The Directory and Web search components are connected to the Agent's Tools port. Finally, the Agent component's output port is connected to the Chat Output component, which returns the final response to the application."]}),"\n",(0,s.jsx)(e.p,{children:(0,s.jsx)(e.img,{alt:"An agent component connected to web search and directory components",src:t(33588).A+"",width:"4000",height:"2830"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"send-requests-to-your-flow-from-a-javascript-application",children:"Send requests to your flow from a JavaScript application"}),"\n",(0,s.jsx)(e.p,{children:"With your flow operational, connect it to a JavaScript application to use the agent's responses."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"To construct a JavaScript application to connect to your flow, gather the following information:"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(e.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(e.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Copy the following script into a JavaScript file, and then replace the placeholders with the information you gathered in the previous step.\nIf you're using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, you can run this example as-is with the example email address in the code sample.\nIf not, modify the ",(0,s.jsx)(e.code,{children:'const email = "isabella.rodriguez@example.com"'})," to search for a value in your dataset."]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" { LangflowClient } ",props:{style:{color:"#C9D1D9"}}},{content:"from ",props:{style:{color:"#FF7B72"}}},{content:'"@datastax/langflow-client"',props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"LANGFLOW_SERVER_ADDRESS ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"'LANGFLOW_SERVER_ADDRESS'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"FLOW_ID ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"'FLOW_ID'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"LANGFLOW_API_KEY ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"email ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"isabella.rodriguez@example.com"',props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"async function ",props:{style:{color:"#FF7B72"}}},{content:"runAgentFlow",props:{style:{color:"#D2A8FF"}}},{content:"()",props:{style:{color:"#C9D1D9"}}},{content:": ",props:{style:{color:"#FF7B72"}}},{content:"Promise",props:{style:{color:"#FFA657"}}},{content:"<",props:{style:{color:"#C9D1D9"}}},{content:"void",props:{style:{color:"#79C0FF"}}},{content:"> {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" try",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Initialize the Langflow client",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"client ",props:{style:{color:"#79C0FF"}}},{content:"= new ",props:{style:{color:"#FF7B72"}}},{content:"LangflowClient",props:{style:{color:"#D2A8FF"}}},{content:"({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" baseUrl: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" apiKey: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_API_KEY",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:" });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Connecting to Langflow server at: ${",props:{style:{color:"#A5D6FF"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:"} `",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Flow ID: ${",props:{style:{color:"#A5D6FF"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Email: ${",props:{style:{color:"#A5D6FF"}}},{content:"email",props:{style:{color:"#C9D1D9"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Get the flow instance",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"flow ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" client.",props:{style:{color:"#C9D1D9"}}},{content:"flow",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Run the flow with the email as input",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Sending request to agent...'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"response ",props:{style:{color:"#79C0FF"}}},{content:"= await",props:{style:{color:"#FF7B72"}}},{content:" flow.",props:{style:{color:"#C9D1D9"}}},{content:"run",props:{style:{color:"#D2A8FF"}}},{content:"(email, {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" session_id: email ",props:{style:{color:"#C9D1D9"}}},{content:"// Use email as session ID for context",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== Response from Langflow ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Session ID:'",props:{style:{color:"#A5D6FF"}}},{content:", response.sessionId);",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" // Extract URLs from the chat message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"chatMessage ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.",props:{style:{color:"#C9D1D9"}}},{content:"chatOutputText",props:{style:{color:"#D2A8FF"}}},{content:"();",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== URLs from Chat Message ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"messageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" chatMessage.",props:{style:{color:"#C9D1D9"}}},{content:"match",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"/https",props:{style:{color:"#A5D6FF"}}},{content:"?",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#A5D6FF"}}},{content:"\\/\\/",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"[",props:{style:{color:"#79C0FF"}}},{content:"^",props:{style:{color:"#FF7B72"}}},{content:"\\s\"')",props:{style:{color:"#79C0FF"}}},{content:"\\]",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"]",props:{style:{color:"#79C0FF"}}},{content:"+",props:{style:{color:"#FF7B72"}}},{content:"/",props:{style:{color:"#A5D6FF"}}},{content:"g",props:{style:{color:"#FF7B72"}}},{content:") ",props:{style:{color:"#C9D1D9"}}},{content:"||",props:{style:{color:"#FF7B72"}}},{content:" [];",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" const ",props:{style:{color:"#FF7B72"}}},{content:"cleanMessageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}},{content:"...new ",props:{style:{color:"#FF7B72"}}},{content:"Set",props:{style:{color:"#D2A8FF"}}},{content:"(messageUrls)].",props:{style:{color:"#C9D1D9"}}},{content:"map",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"url ",props:{style:{color:"#FFA657"}}},{content:"=>",props:{style:{color:"#FF7B72"}}},{content:" url.",props:{style:{color:"#C9D1D9"}}},{content:"trim",props:{style:{color:"#D2A8FF"}}},{content:"());",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'URLs from message:'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 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If you want to use a different provider, you need a valid credential for that provider."}),"\n",(0,s.jsx)(t.h2,{id:"create-an-agentic-flow",children:"Create an agentic flow"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In Langflow, click ",(0,s.jsx)(t.strong,{children:"New Flow"}),", and then select the ",(0,s.jsx)(t.a,{href:"/simple-agent",children:(0,s.jsx)(t.strong,{children:"Simple agent"})})," template."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In the ",(0,s.jsx)(t.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(t.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(t.strong,{children:"Model Provider"}),", ",(0,s.jsx)(t.strong,{children:"Model Name"}),", and ",(0,s.jsx)(t.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To test the flow, click ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"}),", and then ask the LLM ",(0,s.jsx)(t.code,{children:"Is it safe to go hiking in the Adirondacks today?"})]}),"\n",(0,s.jsxs)(t.p,{children:["This query demonstrates how an LLM, by itself, might not have access to information or functions designed to address specialized queries. In this example, the default OpenAI model provides a vague response, although the agent does know the current date by using its internal ",(0,s.jsx)(t.code,{children:"get_current_date"})," function."]}),"\n",(0,s.jsx)(u.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Today is July 11, 2025.",props:{}}]},{tokens:[{content:"To determine if it's safe to go hiking in the Adirondacks today, you should check the current weather conditions, trail advisories, and any local alerts (such as bear activity or flooding).",props:{}}]},{tokens:[{content:"Would you like a detailed weather forecast or information on trail conditions for the Adirondacks today?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"To improve the response, you can connect MCP servers to your flow that provide specialized tools for the agent to use when generating responses. In the next part of this tutorial, you'll connect an MCP server that provides the agent with real-time weather information so that it can generate a more specific response."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-an-mcp-tools-component",children:"Add an MCP Tools component"}),"\n",(0,s.jsx)(t.p,{children:"There are many MCP servers available online that offer different tools for different tasks.\nTo use an MCP server with an MCP client, you have to make the server available to the client.\nWith all MCP clients, there are several ways to do this:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Install the server locally."}),"\n",(0,s.jsxs)(t.li,{children:["Use ",(0,s.jsx)(t.code,{children:"uvx"})," or ",(0,s.jsx)(t.code,{children:"npx"})," to fetch and run a server package."]}),"\n",(0,s.jsx)(t.li,{children:"Call a server running remotely, like those available on Smithery."}),"\n"]}),"\n",(0,s.jsxs)(t.p,{children:["This tutorial demonstrates how to install a weather server locally with ",(0,s.jsx)(t.code,{children:"uv pip install"}),", and how to use ",(0,s.jsx)(t.code,{children:"npx"})," to run the geolocation server package.\nYour particular MCP server's requirements may vary."]}),"\n",(0,s.jsxs)(t.p,{children:["In Langflow, you use the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to connect a specific MCP server to a flow.\nYou need one ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for each MCP server that you want your flow to use."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For this tutorial, install a ",(0,s.jsx)(t.a,{href:"https://github.com/isdaniel/mcp_weather_server",children:"weather MCP server"})," on your local machine with uv and Python:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"pip install mcp_weather_server",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"Make sure you install the server in the same Python environment where Langflow is running:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Langflow in a virtual environment: Activate the environment before installing the server."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Docker image: Install the server inside the Docker container."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Desktop or system-wide Langflow OSS: Install the server globally or in the same user environment where you run Langflow."}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In your ",(0,s.jsx)(t.strong,{children:"Simple agent"})," flow, remove the ",(0,s.jsx)(t.strong,{children:"URL"})," and ",(0,s.jsx)(t.strong,{children:"Calculator"})," tools, and then add the ",(0,s.jsx)(t.a,{href:"/mcp-client",children:(0,s.jsx)(t.strong,{children:"MCP Tools"})})," component to your workspace."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In the ",(0,s.jsx)(t.strong,{children:"Add MCP Server"})," pane, provide the server startup command and arguments to connect the weather MCP server to your flow. For this tutorial, use either the ",(0,s.jsx)(t.strong,{children:"JSON"})," or ",(0,s.jsx)(t.strong,{children:"STDIO"})," option."]}),"\n",(0,s.jsx)(t.p,{children:"Langflow runs the command to launch the server when the agent determines that it needs to use a tool provided by that server."}),"\n",(0,s.jsx)(t.p,{children:"Notice that both configurations provide the same information but in different formats.\nThis means that if your MCP server repository only provides a JSON file for the server, you can still use those values with the STDIO option."}),"\n",(0,s.jsxs)(i.A,{children:[(0,s.jsxs)(a.A,{value:"JSON",label:"JSON",default:!0,children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration as a JSON object, select ",(0,s.jsx)(t.strong,{children:"JSON"}),", and then paste the server configuration into the ",(0,s.jsx)(t.strong,{children:"JSON"})," field:"]}),(0,s.jsx)(u.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "weather"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"python"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "-m"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp_weather_server"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "disabled"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "autoApprove"',props:{style:{color:"#7EE787"}}},{content:": []",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),(0,s.jsxs)(a.A,{value:"STDIO",label:"STDIO",children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration in a GUI format, select ",(0,s.jsx)(t.strong,{children:"STDIO"}),", and then enter the MCP server configuration values into the given fields:"]}),(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Name"}),": ",(0,s.jsx)(t.code,{children:"weather"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Command"}),": ",(0,s.jsx)(t.code,{children:"python"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Arguments"}),":","\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"-m"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"mcp_weather_server"})}),"\n"]}),"\n"]}),"\n"]})]})]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n",(0,s.jsxs)(t.p,{children:["With this weather server, the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component also adds an optional ",(0,s.jsx)(t.strong,{children:"City"})," field.\nFor this tutorial, don't enter anything in this field.\nInstead, you will add a geolocation MCP server in the next step, which the agent will use to detect your location."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the component's header menu, and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsx)(t.p,{children:"At this point your flow has four connected components:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Chat Input"})," component is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Input"})," port. This allows to flow to be triggered by an incoming prompt from a user or application."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component with the weather MCP server is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port. The agent may not use this server for every request; the agent only uses this connection if it decides the server can help respond to the prompt."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Output"})," port is connected to the ",(0,s.jsx)(t.strong,{children:"Chat Output"})," component, which returns the final response to the user or application."]}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to an MCP weather server",src:o(14075).A+"",width:"4000",height:"2282"})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To test the weather MCP server, click ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"}),", and then ask the LLM ",(0,s.jsx)(t.code,{children:"Is it safe to go hiking in the Adirondacks today?"})]}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.strong,{children:"Playground"})," shows you the agent's logic as it analyzes the request and select tools to use."]}),"\n",(0,s.jsx)(t.p,{children:"Ideally, the agent's response will be more specific than the previous response because of the additional context provided by the weather MCP server.\nFor example:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"The current weather in Lake Placid, a central location in the Adirondacks,",props:{}}]},{tokens:[{content:"is foggy with a temperature of 17.2\xb0C (about 63\xb0F).",props:{}}]},{tokens:[{content:"If you plan to go hiking today, be cautious as fog can reduce visibility",props:{}}]},{tokens:[{content:"on trails and make navigation more difficult.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This is a better response, but what makes this MCP server more valuable than just calling a weather API?"}),"\n",(0,s.jsx)(t.p,{children:"First, MCP servers are often customized for specific tasks, such as highly specialized actions or chained tools for complex, multi-step problem solving.\nTypically, you would have to write a custom script for a specific task, possibly including multiple API calls in a single script, and then you would have to either execute this script outside the context of the agent or provide it to your agent in some way."}),"\n",(0,s.jsx)(t.p,{children:"Instead, the MCP ensures that all MCP servers are added to agents in the same way, without having to know each server's specific endpoint structures or write custom integrations.\nThe MCP is a standardized way to integrate many diverse tools into agentic applications.\nYou don't have to learn a new API or write custom code every time you want to use a new MCP server."}),"\n",(0,s.jsxs)(t.p,{children:["Additionally, you can attach many MCP servers to one agent, depending on the problems you want your application to solve.\nThe more servers you add, the more specialized context the agent can use in its responses.\nIn this tutorial, adding the weather MCP server already improved the quality of the LLM's response.\nIn the next section of the tutorial, you will add a ",(0,s.jsx)(t.code,{children:"ip_geolocation"})," MCP server so the agent can detect the user's location if they don't specify a location in their prompt."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-a-geolocation-server",children:"Add a geolocation server"}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.a,{href:"https://github.com/cyanheads/toolkit-mcp-server",children:"Toolkit MCP server"})," includes multiple MCP tools for network monitoring, including IP geolocation. It isn't extremely precise, but it doesn't require an API key."]}),"\n",(0,s.jsx)(t.p,{children:"Note that this tool returns the IP geolocation of your Langflow server, so if your server is deployed remotely, consider alternative approaches for getting user-specific location data, such as browser geolocation APIs."}),"\n",(0,s.jsxs)(t.p,{children:["This MCP server can be started with one ",(0,s.jsx)(t.a,{href:"https://docs.npmjs.com/cli/v8/commands/npx",children:"npx"})," command, which downloads and runs the ",(0,s.jsx)(t.a,{href:"https://www.npmjs.com/package/@cyanheads/toolkit-mcp-server",children:"Toolkit MCP server Node registry package"})," without installing the package locally."]}),"\n",(0,s.jsx)(t.p,{children:"To add the Toolkip MCP server to your flow, do the following:"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Add another ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to your flow, click the component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Select ",(0,s.jsx)(t.strong,{children:"STDIO"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Name"}),", enter ",(0,s.jsx)(t.code,{children:"ip_geolocation"}),"."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsx)(t.p,{children:"The tool name and description help the agent select tools.\nIf your agent is struggling to select tools, make sure the names and descriptions are clear and human-readable."})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Command"}),", enter ",(0,s.jsx)(t.code,{children:"npx @cyanheads/toolkit-mcp-server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the component's header menu, and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsxs)(t.p,{children:["Your flow now has an additional ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for a total of five components."]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to MCP weather and geolocation servers",src:o(80821).A+"",width:"1936",height:"1410"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"create-a-python-application-that-connects-to-langflow",children:"Create a Python application that connects to Langflow"}),"\n",(0,s.jsxs)(t.p,{children:["At this point, you can open the ",(0,s.jsx)(t.strong,{children:"Playground"})," and ask about the weather in your current location to test the IP geolocation tool.\nHowever, geolocation tools are most useful in applications where you or your users want to ask about the weather from different places around the world."]}),"\n",(0,s.jsx)(t.p,{children:"In the last part of this tutorial, you'll learn how to use the Langflow API to run a flow in a script.\nThis could be part of a larger application, such as a mobile app where users want to know if the weather is good for a particular sport."}),"\n",(0,s.jsx)(t.p,{children:"When you use the Langflow API to run a flow, you can change some aspects of the flow without changing the code.\nFor example, you can add more MCP servers to your flow in Langflow, and then use the same script to run the flow.\nYou can use the same input or a new input that prompts the agent to use other tools."}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"For this tutorial's Python script, gather the following information:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(t.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" os",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID" ',props:{style:{color:"#A5D6FF"}}},{content:"# The complete API endpoint URL for this flow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request payload configuration",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"What\'s the weather like where I am right 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",props:{style:{color:"#C9D1D9"}}},{content:'"LANGFLOW_API_KEY"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" # Send API request",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:" response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"json",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" 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Your Docusaurus site did not load properly.

\n

A very common reason is a wrong site baseUrl configuration.

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Current configured baseUrl = ${e} ${"/"===e?" (default value)":""}

\n

We suggest trying baseUrl =

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